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Commit 67b35775 authored by Gustaf Ahdritz's avatar Gustaf Ahdritz
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Add FastFold link

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README.md
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...@@ -26,9 +26,10 @@ OpenFold is equipped with an implementation of low-memory attention ...@@ -26,9 +26,10 @@ OpenFold is equipped with an implementation of low-memory attention
([Rabe & Staats 2021](https://arxiv.org/pdf/2112.05682.pdf)), which ([Rabe & Staats 2021](https://arxiv.org/pdf/2112.05682.pdf)), which
enables inference on extremely long chains. enables inference on extremely long chains.
We've modified FastFold's custom CUDA kernels to support in-place attention We've modified [FastFold](https://github.com/hpcaitech/FastFold)'s custom CUDA
during inference and training. These use 4x and 5x less GPU memory than kernels to support in-place attention during inference and training. These use
equivalent FastFold and stock PyTorch implementations, respectively. 4x and 5x less GPU memory than equivalent FastFold and stock PyTorch
implementations, respectively.
We also make available efficient scripts for generating alignments. We've We also make available efficient scripts for generating alignments. We've
used them to generate millions of alignments that will be released alongside used them to generate millions of alignments that will be released alongside
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